2nd/3rd Shift: Application Distributed Scheduling
2nd and 3rd Shift: Will work either the 8:30pmEST shift or the 4:30amEST shift, and either Sunday-Thursday (Friday + Saturday off) or Tuesday-Saturday (Sunday + Monday off). **The schedule is done on a monthly basis and we cannot guarantee that you will be on the same shift each month (although we will definitely try and accommodate if possible)**
Remote anywhere in US; plus if candidates local to Salt Lake City or Dallas
Contract Length: December 2021 (longer if great performance and strong possibility of moving to day shift)
WHO WE ARE: Goldman Sachs is leading global investment banking, securities and investment management firm that provides a wide range of services worldwide to a substantial and diversified client base that includes corporations, financial institutions, governments and high net-worth individuals. Founded in 1869, it is one of the oldest and largest investment banking firms. The firm is headquartered in New York and maintains offices in London, Bangalore, Frankfurt, Tokyo, Hong Kong and other major financial centers around the world.
Team Summary: Our team of engineers builds solutions to the most complex problems. We develop cutting-edge systems and processes that form the core of our key business and enable transactions to move in milliseconds. We provide realtime access to critical deal information and crunch billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field.
Must Have Skills
PLUSSES: i. Experience in the Financial Service Industry ii. Experience in Cluster Computing and Big Data solutions: Spark, Hadoop, HDSF, XRS using public cloud iii. Degree in Computer Science
Day to Day Responsibilities: Qualified candidate will provide unified production management support for the critical Infrastructure of the firm, using cutting-edge systems and processes that form the core of our key business. They have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. They will also adopt various tools developed by Engineering team to automate failures using machine learning techniques, notify discrepancies in the health of production environment and help in the automation of health-restoration, with a continuous focus on risk and cost.
You will: • Improve Infrastructure stability and performance by analyzing patterns, recurring failures and/or issues, and advise and drive application owners on permanent fixes • Manage incidents by effectively troubleshooting issues, knowing what the risk involved in preforming actions in a production environment • Collaborate globally with in the team, application owners, senior stakeholders and end users